Hung Lab
The Hung Lab works at the intersection of Surgery and Artificial Intelligence (“Surgical AI”). Our work utilizes both human and machine learning approaches to objectively assess surgeon performance during robotic surgery with two fundamental goals: to anticipate patient-reported outcomes after surgery and to revolutionize the conduct of surgical education.
Personal Statement
At the center of our work is the desire to improve how surgeons train and how they receive feedback, ultimately to positively impact patient outcomes. We seek to innovate surgical education through the novel application of artificial intelligence and a data-driven understanding of what makes surgical feedback effective.
Andrew Hung
Breakthrough Research
- Surgical skill assessment through Automated Performance Metrics built on kinematic data recorded during live robot-assisted surgery
- Development and validation of a Surgical Gestures classification system to quantify and decode robotic surgery and successfully predict resulting surgical outcomes
- Automation of suturing skill performance assessment through machine learning for robot-assisted surgery and virtual reality (VR) simulation exercises
Laboratory Team
Learn more about the scientists, faculty members, investigators, and other healthcare professionals of the Hung Lab, whose dedicated efforts lead to groundbreaking discoveries.
Job Opportunities
We are actively recruiting students and postdocs to be our colleagues and expand lab knowledge and expertise to make important breakthroughs.
Collaborations
The Hung Lab collaborates with a wide range of investigators within Cedars-Sinai and institutions around the world.
Contact the Hung Lab
Pacific Design Center
700 N. San Vicente Blvd., Suite G575
West Hollywood, CA 90069